Summary
Igor Stankevich is a hands-on engineering leader and quant with over a decade of experience building ML-driven risk and trading systems, now leading climate risk at Arbol where he designs weather risk platforms and novel modeling approaches. His background spans deep learning and computer vision R&D, high-frequency quantitative development for energy markets at Citadel, and ML-based algorithmic trading, giving him a rare blend of research rigor and production-grade engineering. Igor couples masters-level training in econometrics and cognitive science with finance coursework from MITx to bridge statistical modeling, domain expertise, and product delivery. He is comfortable shipping end-to-end systems—from data acquisition and model research to pricing and risk platforms—and is known for translating complex environmental and market signals into practical risk products.
10 years of coding experience
11 years of employment as a software developer
38
Master, Psychology, Cognitive Science, Master, Psychology, Cognitive Science at Russian University of Humanities
Master, Econometrics and Quantitative Economics, Master, Econometrics and Quantitative Economics at Moscow Aviation Institute (National Research University)
MITx MicroMasters, Finance, MITx MicroMasters, Finance at MITx on edX
English, Russian